Open AccessEnergy Evaluation of Sensor Protocol based on AI Techniques using CRAWDAD Data
Author(s) -
Mohit Mittal,
Lalit Kumar Saraswat
Publication year - 2009
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1606.078219
Subject(s) - flexibility (engineering) , protocol (science) , computer science , wireless sensor network , routing protocol , cluster analysis , computer network , key (lock) , battery (electricity) , energy (signal processing) , routing (electronic design automation) , power (physics) , artificial intelligence , computer security , medicine , statistics , physics , alternative medicine , mathematics , pathology , quantum mechanics
Wireless sensor networks (WSNs) are one of popular communication networks that have garnered most prominent research attention due to their flexibility to sense physical environment parameters and converts into signal form. Battery power is limitation of WSN i.e. network will alive till battery is available. The network lifetime of WSN can be improved by use of energy-efficient cluster-based routing algorithms. In this paper, a key idea is attempting to improvise the LEACH protocol with the help of various clustering techniques and develop improved protocol such as LEACH-K, LEACH-FUZZYC, and LEACH-SOM. Simulation results show that LEACH-FUZZYC outperforms as compare to LEACH, LEACH-K and LEACH-SOM.